A Hybrid Hierarchical Control Plane for Flow-Based Large-Scale Software-Defined Networks

2015 ◽  
Vol 12 (2) ◽  
pp. 117-131 ◽  
Author(s):  
Yonghong Fu ◽  
Jun Bi ◽  
Ze Chen ◽  
Kai Gao ◽  
Baobao Zhang ◽  
...  
Keyword(s):  
Large Scale ◽  
Hierarchical Control ◽  
Software Defined Networks ◽  
Control Plane

A Hierarchical Distributed Control Plane for Path Computation Scalability in Large Scale Software-Defined Networks

2019 ◽  
Vol 16 (3) ◽  
pp. 1019-1031 ◽  
Author(s):  
Mohammed Amine Togou ◽  
Djabir Abdeldjalil Chekired ◽  
Lyes Khoukhi ◽  
Gabriel-Miro Muntean
Keyword(s):  
Distributed Control ◽  
Large Scale ◽  
Software Defined Networks ◽  
Control Plane ◽  
Path Computation

Augmented Affinity Propagation-Based Network Partitioning for Multiple Controllers Placement in Software Defined Networks

2020 ◽  
Vol 17 (1) ◽  
pp. 228-233
Author(s):  
C. N. Sminesh ◽  
E. Grace Mary Kanaga ◽  
A. G. Sreejish
Keyword(s):  
Large Scale ◽  
Affinity Propagation ◽  
Software Defined Networks ◽  
Network Partitioning ◽  
Control Plane ◽  
Placement Problem ◽  
Large Scale Network ◽  
Scale Network ◽  
Controller Placement Problem ◽  
Multiple Controllers

Software Defined Networks (SDN) divide network intelligence and packet forwarding functionalities between control plane and data plane devices respectively. Multiple controllers need to be deployed in the control plane in large SDN networks to improve performance and scalability. In a multi-controller scenario, finding the adequate number of controllers and their load distribution are open research challenges. In a large-scale network, the control plane load balancing is termed a controller placement problem (CPP). It is observed that of the existing solutions for the CPP, clustering-based approaches provide computationally less intensive solutions. The proposed augmented affinity propagation (augmented-AP) clustering identifies the required number of network partitions and places the controllers such that the distribution of switches to the controller is much better than with existing algorithms. The simulation results show that the computed controller imbalance factor of augmented-AP algorithm outperforms the existing k-means algorithm.

Robust hierarchical control plane for Transport Software-Defined Networks

2018 ◽  
Vol 30 ◽  
pp. 10-22 ◽  
Author(s):  
Rafael B.R. Lourenço ◽  
S. Sedef Savas ◽  
Massimo Tornatore ◽  
Biswanath Mukherjee
Keyword(s):  
Hierarchical Control ◽  
Software Defined Networks ◽  
Control Plane
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